Control of a Shunt Active Power Filter with Neural Networks-Theory and Practical Results

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概要

• 論文の詳細を見る

• This paper presents theoretical studies and practical results obtained with a four-wire shunt active power filter fully controlled with neural networks. The paper is focused on a current compensation method based on adaptive linear elements (adalines), which are powerful and easy-to-use neural networks. The reader will find here an introduction about these networks, an explanatory section about the achievement of Fourier series with adalines, and the full description of an adaline-based selective current compensator. The paper also brings a quick discussion about the use of a feedforward neural network in the current controller of the active filter, as well as simulation and experimental results obtained with the prototype of an active power filter.

• 社団法人 電気学会の論文
• 2006-07-01

著者

• Ruppert Filho

  University Of Campinas (unicamp)

• VILLALVA Marcelo

  University of Campinas (UNICAMP)

• Filho Ernesto

  University of Campinas (UNICAMP)

関連論文

• Control of a Shunt Active Power Filter with Neural Networks-Theory and Practical Results

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